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Application of Neural Networks in Software Engineering: A Review

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Information Systems, Technology and Management (ICISTM 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 31))

Abstract

The software engineering is comparatively new and ever changing field. The challenge of meeting tight project schedules with quality software requires that the field of software engineering be automated to large extent and human intervention be minimized to optimum level. To achieve this goal the researchers have explored the potential of machine learning approaches as they are adaptable, have learning capabilities and non-parametric. In this paper, we take a look at how Neural Network (NN) can be used to build tools for software development and maintenance tasks.

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Author information

Authors and Affiliations

  1. University School of Information and Technology, G.G.S. IP University, Delhi, India

    Yogesh Singh & Arvinder Kaur

  2. Dept. of CSE, GJU of Science & Technology, Hisar, Haryana

    Pradeep Kumar Bhatia

  3. Amity Institute of Information Technology, Amity University, Uttar Pradesh

    Omprakash Sangwan

Authors
  1. Yogesh Singh
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  2. Pradeep Kumar Bhatia
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  3. Arvinder Kaur
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  4. Omprakash Sangwan
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Georgia State University, 34 Peachtree Street, P.O. Box, Atlanta, GA, USA

    Sushil K. Prasad

  2. Institute of Management Technology, Ghaziabad, India

    Susmi Routray  & Reema Khurana  & 

  3. Department of Computer and Information Science and Technology, University of Florida, USA

    Sartaj Sahni

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© 2009 Springer-Verlag Berlin Heidelberg

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Singh, Y., Bhatia, P.K., Kaur, A., Sangwan, O. (2009). Application of Neural Networks in Software Engineering: A Review. In: Prasad, S.K., Routray, S., Khurana, R., Sahni, S. (eds) Information Systems, Technology and Management. ICISTM 2009. Communications in Computer and Information Science, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00405-6_17

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  • DOI: https://doi.org/10.1007/978-3-642-00405-6_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00404-9

  • Online ISBN: 978-3-642-00405-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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